Location-sensitive Query Auto-completion

著者: Chunbin Lin, Jianguo Wang, Jiaheng Lu - ACM Web Conference, WWW 2017 被引用: 26

This paper studies the location-sensitive auto-completion problem. We propose an efficient algorithm SQA running on a native index combining both IR-tree and Trie index. The experiments on real-life datasets demonstrate that SQA outperforms baseline methods by one order of magnitude.